Bayesian estimation of log odds ratios from R × C and 2 × 2 × K contingency tables

Haydar Demirhan and Canan Hamurkaroglu

Statistica Neerlandica, 2008, vol. 62, issue 4, 405-424

Abstract: In this paper, Bayesian estimation of log odds ratios over R × C and 2 × 2 × K contingency tables is considered, which is practically reasonable in the presence of prior information. Likelihood functions for log odds ratios are derived for each table structure. A prior specification strategy is proposed. Posterior inferences are drawn using Gibbs sampling and Metropolis–Hastings algorithm. Two numerical examples are given to illustrate the matters argued.

Date: 2008
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https://doi.org/10.1111/j.1467-9574.2008.00387.x

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Persistent link: https://EconPapers.repec.org/RePEc:bla:stanee:v:62:y:2008:i:4:p:405-424

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